Skip to main content

ORIGINAL RESEARCH article

Front. Med., 12 December 2022
Sec. Intensive Care Medicine and Anesthesiology

Hyperglycemia is associated with worse 3-year survival in older patients admitted to the intensive care unit after non-cardiac surgery: Post hoc analysis of a randomized trial

\r\nMo LiMo Li1Chun-Mei Deng*Chun-Mei Deng1*Xian SuXian Su1Dan-Feng Zhang&#x;Dan-Feng Zhang1†Mao DingMao Ding1Jia-Hui MaJia-Hui Ma1Dong-Xin Wang,*Dong-Xin Wang1,2*
  • 1Department of Anesthesiology and Critical Care Medicine, Peking University First Hospital, Beijing, China
  • 2Outcomes Research Consortium, Cleveland, OH, United States

Objective: Hyperglycemia is common in critically ill patients after surgery and is associated with worse perioperative outcomes. Yet, the impact of postoperative hyperglycemia on long-term outcomes remains unclear. We therefore analyzed the association between early postoperative hyperglycemia and 3-year overall survival in older patients who were admitted to the intensive care unit after surgery.

Methods: This was a post hoc analysis of database obtained from a previous randomized trial and 3-year follow-up. The underlying trial enrolled 700 patients aged 65 years or older who were admitted to the intensive care unit after elective non-cardiac surgery. Early postoperative time-weighted average blood glucose was calculated and was divided into three levels, i.e., <8.0 mmol/L, from 8.0 to 10.0 mmol/L, and >10.0 mmol/L. The primary outcome was 3-year overall survival. The association between time-weighted average blood glucose level and 3-year overall survival was analyzed with Cox proportional hazard regression models. Subgroup analyses were also performed in patients with or without diabetes, and in patients following cancer or non-cancer surgery.

Results: A total of 677 patients (mean age 74 years, 60% male sex) were included in the final analysis. Within 3 years after surgery, deaths occurred in 22.1% (30/136) of patients with time-weighted average blood glucose <8.0 mmol/L, compared with 35.7% (81/227) of those from 8.0 to 10.0 mmol/L (unadjusted hazard ratio 1.75, 95% CI 1.15 to 2.67, P = 0.009), and 36.9% (116/314) of those >10.0 mmol/L (unadjusted hazard ratio 1.91, 95% CI 1.28 to 2.85, P = 0.002). After adjustment for confounding factors, the risk of 3-year mortality remained higher in patients with time-weighted average blood glucose from 8.0 to 10.0 mmol/L (adjusted hazard ratio 2.28, 95% CI 1.47 to 3.54, P < 0.001) and in those >10.0 mmol/L (adjusted hazard ratio 2.00, 95% CI 1.29 to 3.10, P = 0.002). Similar results were obtained in the subgroups of patients without diabetes and patients following cancer surgery.

Conclusion: For older patients admitted to the intensive care unit after elective non-cardiac surgery, high early blood glucose (time-weighted average blood glucose ≥ 8.0 mmol/L) was associated with poor 3-year overall survival. The impact of moderate glycemic control on long-term survival deserves further investigation.

Introduction

Hyperglycemia is common in critically ill patients, including those admitted to the intensive care unit (ICU) after surgery (1). Postoperative hyperglycemia occurs in diabetes patients, but may also occur in those without (25). The reported incidence ranges from 10.5 to 46.7%, depending on diagnostic criteria and surgical populations (68). Multiple factors contribute to postoperative hyperglycemia and may include comorbid diabetes, severity of acute illness, surgical stress, and new-onset complications (9).

Early postoperative hyperglycemia is associated with adverse clinical outcomes including increases in postoperative complications (6, 1013), length of hospital stay (6, 11), medical expenses (11, 13), and perioperative mortality (6, 7, 9). As a matter of fact, persistent postoperative hyperglycemia has been reported to be a useful predictor of complications that require readmission and reoperation (7, 14). The association between early hyperglycemia and high in-hospital mortality is also reported in patients with other critical illnesses, such as myocardial infarction, respiratory failure, stroke, sepsis, and trauma (9, 1518), and is especially true in patients without diabetes (6, 9, 19). On the other hand, a recent meta-analysis showed that intensive glucose control in critically ill patients reduces acquired infection and sepsis, length of ICU stay, and all-cause mortality, although it increases hypoglycemic events (20); this further indicates the importance of monitoring and managing blood glucose.

Evidence regarding the impact of postoperative hyperglycemia on long-term outcomes is limited. In a retrospective study of 505 patients following peripheral arterial bypass surgery, immediate postoperative hyperglycemia (≥7.8 mmol/L) was associated with an increased risk of long-term amputations (13). In another retrospective study, 104 patients were included in the analysis after propensity score matching; those with postoperative hyperglycemia (≥ 7.8 mmol/L) had worse long-term survival after gastric cancer surgery (21). Whereas a 44-month follow-up of 189 patients enrolled in a randomized trial showed that strict (5–6.7 mmol/L) compared with liberal (6.7–10 mmol/L) glucose management did not change long-term survival and quality of life after coronary bypass surgery (22), but the trial was seriously underpowered. Currently, there is no consensus regarding the long-term effect of postoperative hyperglycemia and the optimal glucose level based on long-term outcomes following surgery.

In a previous trial, we enrolled 700 patients aged 65 years or older who were admitted to the ICU after elective non-cardiac surgery and investigated the impact of prophylactic low-dose dexmedetomidine on delirium (23). We then performed a 3-year follow-up of these patients and evaluated the long-term outcomes including overall survival, quality of life, and cognitive function (24). The objective of this post hoc analysis was to explore the relationship between early postoperative blood glucose and 3-year survival in these patients.

Materials and methods

Study design

This was a post hoc analysis of the database from a randomized trial and 3-year follow-up. The protocols of the underlying studies were approved by the local Clinical Research Ethics Committee (2011 [10] and 2014 [711]), registered with the Chinese Clinical Trial Registry (ChiCTR-TRC-10000802) and ClinicalTrials.gov (NCT02809937), and published previously (23, 24). This analysis was performed in compliance with the Declaration of Helsinki and approved by the Biomedical Research Ethics Committee of the Peking University First Hospital, Beijing, China (2022 [074]). Informed consent was waived by the Ethics Committee because all data were obtained from the available database and the inpatient medical record system and no patient-contact or family member-contact was needed. However, personal data were kept strictly confidential.

Participant recruitment

In the underlying trial, we enrolled patients aged ≥65 years who were admitted to the ICU after elective non-cardiac surgery under general anesthesia. We excluded those who met any of the following criteria: (1) preoperative history of schizophrenia, epilepsy, Parkinson’s disease, or myasthenia gravis; (2) inability to communicate because of coma, severe dementia, or language barriers before surgery; (3) brain trauma or neurosurgery; (4) preoperative left ventricular ejection fraction <30%, sick sinus syndrome, heart rate <50 beats/min, or two degrees or higher atrioventricular block without pacemaker; (5) severe liver dysfunction (Child-Pugh C grade) or severe renal dysfunction (preoperative renal replacement therapy); or (6) expected survival ≤24 h (23). For the purpose of this post hoc analysis, we also excluded patients with less than 2 blood glucose tests from ICU admission to the next 10 am in the medical records.

Anesthesia and perioperative care

Intraoperative monitoring was performed according to the American Society of Anesthesiologists (ASA) guidelines and local routine, including intra-arterial pressure and central venous pressure when necessary. Dexamethasone (5–10 mg) was administered before anesthesia induction to prevent postoperative nausea and vomiting. General anesthesia was induced with midazolam and propofol and/or etomidate, and maintained with propofol infusion and/or sevoflurane inhalation, with or without epidural block and/or nitrous oxide inhalation. Sufentanil and/or remifentanil were administered for intraoperative analgesia; neuromuscular blocking agents were used for muscle relaxation. Anesthesia depth was monitored according to clinical signs and bispectral index if available. Blood products were transfused to maintain hemoglobin ≥7 g/dL. The target was to maintain blood pressure within 30% of baseline, nasopharyngeal temperature ≥36°C, and urine output ≥0.5 ml/kg/h.

After ICU admission, all patients were routinely monitored and usually included intra-arterial pressure. Patient-controlled intravenous or epidural analgesia was routinely provided. Supplemental morphine and/or non-steroid anti-inflammatory drugs were administered when necessary. For those with endotracheal intubation, propofol and/or midazolam were administered for sedation; the target was to maintain a Richmond Agitation Sedation Scale [score ranges from –5 (unarousable) to + 4 (combative) and 0 indicates alert and calm (25)] between –2 and +1. Early extubation was encouraged whenever possible. Daily sedation interruption was performed for those who were not extubated the next morning. As the randomized intervention of the underlying trial, either low-dose dexmedetomidine (0.1 μg/kg/h) or normal saline was infused from ICU admission until 8 am on postoperative day 1 (23).

As a routine practice, all patients had their first blood glucose tested immediately on ICU admission. Blood glucose values were obtained from arterial blood gas results (ABL 800 FLEX, Radiometer Medical ApS, Denmark), which were then tested at 4 to 6-h intervals until ICU discharge. The frequency of blood glucose monitoring was increased if abnormal values appeared. Blood glucose management during the ICU stay was standardized in our institution, i.e., regular insulin was added to glucose-containing infusion solution at a ratio of 1:6 for patients without diabetes or 1:4 for patients with diabetes. Additional insulin was injected intravenously when hyperglycemia occurred; specifically, 4 units insulin when blood glucose >10.0 mmol/L, 6 units when >12.0 mmol/L, and 8 units when >15.0 mmol/L. Blood glucose was rechecked every hour and managed in the same way. In case that blood glucose remained >10.0 mmol/L after 2 to 3 bolus injections, insulin was infused continuously, and the glucose infusion rate was reduced when necessary. In case that blood glucose was <5.0 mmol/L, 10 to 20 mL of 50% glucose was injected intravenously, and the glucose/insulin infusion rate was adjusted. The target was to maintain blood glucose between 5.0 and 10.0 mmol/L. ICU discharge was decided by intensivists and surgeons.

Baseline and perioperative data

Baseline data included age, sex, body mass index, preoperative comorbidities and medication, duration and treatment of diabetes mellitus, and main preoperative laboratory test results. General status was evaluated and included the ASA classification, Charlson Comorbidity Index (26), and Barthel Index (27). The pathological diagnoses were recorded; the tumor-node-metastasis stage for patients following cancer surgery was evaluated according to the American Joint Committee on Cancer 8th Edition Cancer Staging System (28).

Intraoperative data included the type and duration of anesthesia, intraoperative medication, intraoperative fluid infusion and blood product transfusion, estimated blood loss, and the site and duration of surgery. The level of operative stress was rated according to the Operative Stress Score, which stratified physiologic stress into 5 categories, i.e., very low stress, low stress, moderate stress, high stress, and very high stress (29).

Postoperative data included the worst Acute Physiology and Chronic Health Evaluation II (APACHE II) score within 24 h after ICU admission, use and type of patient-controlled analgesia, the occurrence of delirium within seven days, the occurrence of non-delirium complications within 30 days, and lengths of stay in the ICU and hospital after surgery. Delirium was assessed twice daily (from 8 to 10 am and from 18 to 20 pm) with the Confusion Assessment Methods for the Intensive Care Unit (30, 31); non-delirium complications were defined as new-onset medical events other than delirium that required therapeutic intervention (23). For the purpose of this study, we collected in detail the blood glucose values from ICU admission until 10 am next day from the inpatient medical record system. Hypoglycemia was defined as a blood glucose level below 3.9 mmol/L. Severe hypoglycemia was defined as a blood glucose level below 2.2 mmol/L.

Three-year follow-up data

The 3-year follow-ups were performed by contacting patients and/or their family members via telephone during the underlying study. Cognitive function was assessed with the modified Telephone Interview for Cognitive Status (TICS-m). This is a 12-item questionnaire that evaluates global cognitive function via telephone; the score ranges from 0 to 50, with a higher score indicating better function (32). Quality of life was assessed with the World Health Organization Quality of Life brief version (WHOQOL-BREF). This is a 24-item questionnaire that evaluates physical, psychological, social relationship, and environmental domains; for each domain, the score ranges from 0 to 100, with a higher score indicating better function (33). For patients who died within 3 years, the exact date of death was recorded. For those who were lost to follow-up, the time of last contact or hospital visit after surgery was considered as censoring time.

The primary outcome of this analysis was 3-year overall survival after surgery. Secondary outcomes included cognitive function and quality of life in 3-year survivors. Exploratory analyses were performed in the subgroups of patients with or without diabetes, depending on history of diabetes mellitus, and patients following cancer or non-cancer surgery, depending on the pathological examination results.

Statistical analysis

Time-weighted average blood glucose

To adequately reflect the time exposed to various blood glucose levels and minimize bias caused by irregular measurement intervals, we calculated the time-weighted average (TWA) blood glucose concentration for each patient from ICU admission to the next 10 am on postoperative day 1. TWA blood glucose was calculated as the area under the curve divided by the time interval between the first and the last measurement in two steps (34). First, we calculated the area under the curve for blood glucose values greater than zero using the following formula: area under curve = [(X1 + X2) (T2 – T1) + (X2 + X3) (T3 – T2) + (X3 + X4) (T4 – T3) + … + (X n–1 + X n) (Tn – Tn–1)]/2; in the equation, X1 is the first glucose value which was measured at time T1, and X n is the last glucose value which was measured at time Tn. Second, TWA blood glucose = area under curve/(Tn-T1).

Outcome analysis

Patients were arbitrarily divided into three groups based on the TWA blood glucose concentration, i.e., those <8.0 mmol/L, those from 8.0 to 10.0 mmol/L, and those >10.0 mmol/L. Continuous variables with normal distribution were presented as mean ± SD and analyzed using one-way ANOVA followed by Bonferroni’s or Games-Howell’s multiple comparisons test; those with non-normal distribution were presented as median (interquartile range) and analyzed with Kruskal-Wallis H test with mean rank’s post hoc multiple comparisons. Categorical variables were presented as n (%) and were compared using chi-square test, Pearson’s chi-square test, or Fisher’s exact test. Time-to-event variables were analyzed with Kaplan-Meier survival analyses and log-rank tests.

The differences in 3-year overall survival among the three time-weighted average blood glucose groups were analyzed using Kaplan-Meier survival analyses and log-rank tests. We used univariable Cox proportional hazard models to explore the possible association between baseline and perioperative variables and 3-year overall survival. After testing for potential collinearity with the variance inflation factor, factors with P < 0.20 in univariate analyses or considered clinically important were included in a multivariable Cox model to correct for confounding effects. Analyses were also performed in the subgroups of patients with or without diabetes and patients following cancer or non-cancer surgery.

A two-tailed P < 0.05 was considered statistically significant for each hypothesis. Bonferroni correction was made for multiple comparisons. Statistical analyses were performed with Python (version 3.7, Python Software Foundation) and SPSS 25.0 software (IBM SPSS Inc., Chicago, IL, USA).

Results

Participants

The underlying trial was conducted between August 17, 2011 and November 20, 2013; the 3-year follow-up was conducted between May 4, 2014 and December 13, 2016. Among 700 patients enrolled in the original study, 21 patients had missing blood glucose data and 2 had only one blood glucose test. Finally, 677 patients were included for this post hoc analysis. Among them, 136 (20.1%) patients had TWA blood glucose <8.0 mmol/L, 227 (33.5%) patients from 8.0 to 10.0 mmol/L, and 314 (46.4%) patients >10.0 mmol/L from ICU admission to 10 am on postoperative day 1 (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Flow chart of the study.

Baseline and perioperative data

Regarding baseline data, patients with TWA blood glucose >10.0 mmol/L had a lower percentage of male sex, a higher body mass index, and a higher percentage of hypertension than those with TWA blood glucose <8.0 mmol/L; they also had a higher percentage and a longer duration of diabetes, received more insulin, had a higher Charlson Comorbidity Index, and had lower preoperative hemoglobin and preoperative albumin but a higher glucose than those with TWA blood glucose either <8.0 mmol/L or from 8.0 to 10.0 mmol/L. Patients with TWA blood glucose from 8.0 to 10.0 mmol/L had a higher body mass index than those with TWA blood glucose <8.0 mmol/L (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Baseline data.

Regarding intraoperative data, patients with TWA blood glucose >10.0 mmol/L underwent longer durations of anesthesia and surgery, received more sevoflurane and sufentanil, had more estimated blood loss, received more artificial colloid fluid infusion and blood transfusion, and endured a lower percentage of low stress surgery than those with TWA blood glucose <8.0 mmol/L (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Intraoperative data.

Regarding postoperative data, patients with TWA blood glucose >10.0 mmol/L received more patient-controlled intravenous analgesia, and had higher blood glucose and coefficient of blood glucose variation than those with TWA blood glucose either <8.0 mmol/L or from 8.0 to 10.0 mmol/L; they received more blood glucose tests and developed less hypoglycemia (blood glucose ≤ 3.9 mmol/L) than those with TWA blood glucose <8.0 mmol/L; they had a higher percentage of ICU admission with intubation and received more propofol within 7 days than those with TWA blood glucose from 8.0 to 10.0 mmol/L. Patients with TWA blood glucose from 8.0 to 10.0 mmol/L had a higher blood glucose and developed less hypoglycemia than those with TWA blood glucose <8.0 mmol/L (Table 3).

TABLE 3
www.frontiersin.org

Table 3. Postoperative data.

Postoperative outcomes

In all patients, those with TWA blood glucose >10.0 mmol/L developed more non-delirium complications within 30 days and stayed longer in hospital than those with TWA blood glucose either <8.0 mmol/L or from 8.0 to 10.0 mmol/L; they developed more delirium than those with TWA blood glucose from 8.0 to 10.0 mmol/L. Patients with TWA blood glucose from 8.0 to 10.0 mmol/L developed less delirium than those with TWA blood glucose <8.0 mmol/L (Table 4 and Supplementary Table 1).

TABLE 4
www.frontiersin.org

Table 4. Postoperative outcomes within 30 days.

In the subgroup of patients without diabetes, those with TWA blood glucose >10.0 mmol/L developed more non-delirium complications within 30 days and stayed longer in hospital after surgery than those with TWA blood glucose <8.0 mmol/L; they developed more delirium and stayed longer in hospital than those with TWA blood glucose from 8.0 to 10.0 mmol/L. Patients with TWA blood glucose from 8.0 to 10.0 mmol/L developed less delirium than those with TWA blood glucose <8.0 mmol/L (Table 4 and Supplementary Tables 1, 2).

In the subgroup of patients following cancer surgery, those with TWA blood glucose >10.0 mmol/L developed more non-delirium complications within 30 days and stayed longer in hospital than those with TWA blood glucose from 8.0 to 10.0 mmol/L. Patients with TWA blood glucose from 8.0 to 10.0 mmol/L developed less delirium than those with TWA blood glucose <8.0 mmol/L. In the subgroup of patients following non-cancer surgery, those with TWA blood glucose >10.0 mmol/L developed more non-delirium complications within 30 days and stayed longer in hospital than those with TWA blood glucose <8.0 mmol/L (Table 4 and Supplementary Tables 1, 2).

Long-term outcomes

Among all patients, a total of 227 (33.5%) deaths occurred within 3 years after surgery. Specifically, there were 30 (22.1%) deaths in patients with TWA blood glucose <8.0 mmol/L, 81 (35.7%) deaths in those with TWA blood glucose from 8.0 to 10.0 mmol/L, and 116 (36.9%) deaths in those with TWA blood glucose >10.0 mmol/L. When compared with patients with TWA blood glucose <8.0 mmol/L, the unadjusted risk of 3-year death was higher in those with TWA blood glucose from 8.0 to 10.0 mmol/L (unadjusted hazard ratio [HR] 1.75, 95% CI 1.15 to 2.67, P = 0.009) and those with TWA blood glucose >10.0 mmol/L (unadjusted HR 1.91, 95% CI 1.28 to 2.85, P = 0.002). Exploratory analysis in the subgroups of patients without diabetes and patients following cancer surgery gave similar results (Figure 2, Table 5, Supplementary Figures 1, 2 and Supplementary Table 3).

FIGURE 2
www.frontiersin.org

Figure 2. The Kaplan–Meier curves of overall survival in all patients. When compared with patients with TWA BG <8.0 mmol/L, the risk of 3-year death remained higher in those with TWA BG 8.0 to 10.0 mmol/L (adjusted HR 2.28, 95% CI 1.47 to 3.54, P < 0.001) and with TWA BG >10.0 mmol/L (adjusted HR 2.00, 95% CI 1.29 to 3.10, P = 0.002) after adjustment for confounding factors including age, sex, body mass index, chronic smoking, history of type II diabetes mellitus, American Society of Anesthesiologists classification, preoperative Barthel Index, preoperative hemoglobin, preoperative albumin, tumor-node-metastasis stage, type of anesthesia, site of surgery, Operative Stress Score, duration of surgery, intraoperative blood transfusion, endotracheal intubation on ICU admission, delirium within 7 days, and non-delirium complications within 30 days. Crosses indicate censored patients. TWA BG, time-weighted average blood glucose.

TABLE 5
www.frontiersin.org

Table 5. The association between time-weighted average blood glucose and three-year overall survival.

Univariable Cox regression analyses identified 24 variables with P < 0.20; 18 variables including history of diabetes mellitus and TWA blood glucose were included in a multivariate Cox regression analysis model. After adjustment for confounding factors, the risk of 3-year death remained higher in patients with TWA blood glucose from 8.0 to 10.0 mmol/L (adjusted HR 2.28, 95% CI 1.47 to 3.54, P < 0.001) and >10.0 mmol/L (adjusted HR 2.00, 95% CI 1.29 to 3.10, P = 0.002) than in those with TWA blood glucose <8.0 mmol/L. Exploratory analysis in the subgroups of patients without diabetes and patients following cancer surgery gave similar results (Table 5 and Supplementary Tables 35).

For 3-year survivors in all patients, the scores of cognitive function (assessed with the TICS-m) and four quality-of-life domains (assessed with the WHOQOL-BREF) did not differ among the three groups. Exploratory analysis in the subgroups of patients with or without diabetes and patients following cancer or non-cancer surgery gave similar results (Supplementary Table 6).

Discussion

Our results showed that, for older patients admitted to the ICU after elective non-cardiac surgery, high early blood glucose level was associated with worse 3-year survival. Specifically, patients with TWA blood glucose ≥8.0 mmol/L had an increased risk of 3-year mortality when compared with those with TWA blood glucose <8.0 mmol/L. This association existed after adjustment for confounding factors and in the subgroups of patients without diabetes and patients following cancer surgery.

There is no commonly accepted definition of postoperative hyperglycemia (35). The adopted cutoff points varied among different studies and included 7.0 mmol/L (12, 36), 8.0 mmol/L (17, 18, 37), 10.0 mmol/L (7, 17, 37, 38), and 11.1 mmol/L (12, 17, 18, 36). For example, a large cohort study including 259,040 ICU patients showed that a mean blood glucose >8.0 mmol/L was associated with increased mortality after surgery (18). In another observational study, patients without diabetes who had blood glucose between 8.0 and 10.0 mmol/L were 1.74 times more likely to die than those with diabetes who had hyperglycemia in the same range (17). Whereas some others reported that only a hyperglycemia >10.0 mmol/L was associated with worse perioperative outcomes including 30-day mortality (7, 38). The 2012 guideline suggested that insulin therapy should be initiated when blood glucose is ≥8.3 mmol/L in general ICU patients (39); and for patients with sepsis or septic shock, recent guidelines recommended initiating insulin therapy at a blood glucose level of ≥10.0 mmol/L (40). In the present study, we adopted 8.0 mmol/L and 10.0 mmol/L as cut-off points for analysis. We also used TWA blood glucose to evaluate the blood glucose levels and to eliminate bias caused by unequal time measurements (34).

The unfavorable impact of postoperative hyperglycemia on early outcomes has been widely investigated (7, 17, 18, 38, 41). In a meta-analysis of randomized trials, tight glucose control (≤ 8.3 mmol/L) was associated improved postoperative outcomes when compared with very liberal control (upper level 10.0–12.2 mmol/L), but increased hypoglycemic events (42). In line with the above studies, our results showed that patients with severe hyperglycemia (TWA blood glucose >10 mmol/L) developed more non-delirium complications and stayed longer in the hospital after surgery; patients with moderate hyperglycemia (TWA blood glucose from 8 to 10 mmol/L) also showed slightly worse outcomes but not statistically significant. An interesting finding in our study is that patients with moderate hyperglycemia had the lowest incidence of delirium, possibly because they had a lower percentage of ICU admission with intubation. Similar results were reported in a previous trial which showed that postoperative delirium was less common in patients with routine glucose control (mean 9.5 mmol/L) than in those with tight glucose control (mean 6.6 mmol/L); the authors attributed the results to increased glucose requirements of the brain during surgical stress (43).

In clinical practice, medical stuff tends to focus on the fluctuation of blood glucose in patients with diabetes. Yet hyperglycemia in patients without diabetes might be more harmful. For example, in a recent retrospective cohort study, patients without diabetes developed more postoperative complications than those with diabetes at similar levels of hyperglycemia (44). In another study of 3026 patients following minor stroke or transient ischemic accident, those without diabetes who developed stress hyperglycemia had a higher risk of stroke recurrence within 90 days (45). Our results of subgroup analysis also showed that patients without diabetes who had severe hyperglycemia had worse postoperative outcomes; the phenomenon was not present in patients with diabetes, but possibly due to the limited sample size.

Only a few studies investigated the association between postoperative hyperglycemia and long-term outcomes. In a retrospective study, 173 patients without diabetes underwent curative gastric cancer surgery and 104 patients were included in the final analysis after propensity score matching; postoperative hyperglycemia (defined as at least one blood glucose ≥ 7.8 mmol/L within 72 h) was associated with worse 5-year overall survival and worse 5-year disease-free survival (21). In the present study, the sample size and the number of end-point events were far larger than in the above one. We therefore could provide more robust results. Our results also showed that both moderate (TWA blood glucose from 8.0 to 10.0 mmol/L) and severe (TWA blood glucose >10.0 mmol/L) hyperglycemia were associated with poor 3-year overall survival; the association existed in patients without diabetes and in those after cancer surgery. We did not find significant association between hyperglycemia and 3-year survival in patients with diabetes and in those after non-cancer surgery. A possible explanation is that the sample sizes are not enough to detect the associations in the latter two subgroups, but it is also possible that hyperglycemia is less harmful in patients with diabetes. For example, a retrospective study of 61,536 patients showed that 1-year mortality after non-cardiac surgery was lower in hyperglycemic patients with diabetes than in those without (46).

The potential mechanisms underlying our findings are not totally clear but may include the following. First, admission hyperglycemia is correlated with more severe surgical injuries and inflammation (47). Surgery-related disease and stress response might have produced harmful effects on long-term outcomes. Second, it was found that perioperative severe hyperglycemia (defined as at least one episode of blood glucose ≥ 10.0 mmol/L) attenuates T cell activation, monocytic function, and basophil count (48). The resulting immunosuppression might have produced unfavorable long-term effects. Third, hyperglycemia per se favors tumor cell growth (49) and thus might have promoted cancer progression. Indeed, it was reported that hyperglycemia is associated with cancer death but not non-cancer death (50), and the majority of our patients underwent cancer surgery.

The optimal perioperative glycemic level and whether targeted blood glucose control could improve long-term outcomes remain to be determined. A post hoc analysis of long-term survival in patients who were randomized to strict or liberal glucose control during coronary bypass surgery did not find differences between groups; however, the trial was seriously underpowered since mortality occurred in only 5.5% of 189 patients during a (mean) 40-month follow-up period (22). Many trials investigated the impact of various glycemic control strategies on 90-day mortality but did not find any benefits of tight (blood glucose 4.4 to 6.1 mmol/L) or individualized (according to glycated hemoglobin A1c level at ICU admission) glycemic control; on the contrary, tight or individualized glycemic control increased the risk of hypoglycemia and even severe hypoglycemia (5153). Only a limited number of trials explored the short-term effects of moderate (6.1 to <7.8 mmol) glycemic control (52). According to available results, maintaining blood glucose between 6.0 and 8.0 mmol/L may be beneficial for long-term outcomes in surgical patients. Further studies are warranted in this aspect.

Strengths of our study included that the dataset came from a randomized controlled trial with large sample size and we had a high number of endpoint events. There are also some limitations. First, as with all observational studies, we could not establish a causal relationship between perioperative hyperglycemia and long-term mortality. Interventional studies are required to confirm our hypothesis. Second, preoperative hemoglobin A1c was not routinely measured. We might have overlooked some patients with unknown diabetes. Third, as a post hoc analysis, the sample size was not calculated for the current purpose. However, with 227 end-point events (deaths) occurred in 677 patients during a 3-year period, we have enough power to establish an association model. Forth, we only enrolled older patients admitted to the ICU after elective non-cardiac surgery in the underlying trial. This limited the generalizability of our results.

Conclusion

We found that, in older patients admitted to the ICU after elective non-cardiac surgery, high early postoperative blood glucose (TWA blood glucose ≥ 8.0 mmol/L) was associated with worse 3-year overall survival. Future studies are required to investigate the impact of moderate glycemic control on long-term survival in this patient population.

Data availability statement

The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving human participants were reviewed and approved by Biomedical Research Ethics Committee of the Peking University First Hospital, Beijing, China (2022 [074]). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

ML helped in data acquisition, data analysis, data interpretation, and manuscript drafting. C-MD helped in data analysis, data interpretation, and manuscript drafting. XS, D-FZ, and MD helped in data acquisition. J-HM helped in data analysis. D-XW helped in concept and design, data analysis, data interpretation, critical revision of the manuscript for important intellectual content, and supervision. All authors approved for the final version to be published.

Funding

The original studies were supported by Braun Anesthesia Scientific Research Fund (Beijing, China) and Wu Jieping Medical Foundation (Beijing, China). This post hoc analysis was supported by the National Key R&D Program of China (No. 2018YFC2001800; Beijing, China). The study sponsors had no role in the study design, collection, analysis, and interpretation of data, or in the writing of the report.

Acknowledgments

We gratefully acknowledge the contribution of Dr. Dong-Liang Mu (Department of Anesthesiology and Critical Care Medicine, Peking University First Hospital, Beijing, China) when drafting the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2022.1003186/full#supplementary-material

Abbreviations

TWA, Time-weighted average; COPD, chronic obstructive pulmonary disease; ACEI, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; ASA, American Society of Anesthesiologists; APACHE II, Acute Physiology and Chronic Health Evaluation II; ICU, intensive care unit; TICS-m, modified Telephone Interview for Cognitive Status; WHOQOL-BREF, World Health Organization Quality of Life brief version; SD, Standard deviation.

References

1. Gunst J, De Bruyn A, Van den Berghe G. Glucose control in the ICU. Curr Opin Anaesthesiol. (2019) 32:156–62. doi: 10.1097/aco.0000000000000706

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Kwon S, Thompson R, Dellinger P, Yanez D, Farrohki E, Flum D. Importance of perioperative glycemic control in general surgery: a report from the surgical care and outcomes assessment program. Ann Surg. (2013) 257:8–14. doi: 10.1097/SLA.0b013e31827b6bbc

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Kotagal M, Symons R, Hirsch I, Umpierrez G, Dellinger E, Farrokhi E, et al. Perioperative hyperglycemia and risk of adverse events among patients with and without diabetes. Ann Surg. (2015) 261:97–103. doi: 10.1097/sla.0000000000000688

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Yang M, Jaeger M, Baxter M, VanDenKerkhof E, van Vlymen J. Postoperative dysglycemia in elective non-diabetic surgical patients: a prospective observational study. Can J Anaesth. (2016) 63:1319–34. doi: 10.1007/s12630-016-0742-7

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Gachabayov M, Senagore A, Abbas S, Yelika S, You K, Bergamaschi R. Perioperative hyperglycemia: an unmet need within a surgical site infection bundle. Tech Coloproctol. (2018) 22:201–7. doi: 10.1007/s10151-018-1769-2

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Davis G, Fayfman M, Reyes-Umpierrez D, Hafeez S, Pasquel F, Vellanki P, et al. Stress hyperglycemia in general surgery: why should we care? J Diabetes Complications. (2018) 32:305–9. doi: 10.1016/j.jdiacomp.2017.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Long C, Fang Z, Hu F, Arya S, Brewster L, Duggan E, et al. Poor glycemic control is a strong predictor of postoperative morbidity and mortality in patients undergoing vascular surgery. J Vasc Surg. (2019) 69:1219–26. doi: 10.1016/j.jvs.2018.06.212

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Yun R, Javed A, Jarrell A, Crow J, Wright M, Burkhart R, et al. Impact of postoperative glycemic control on postoperative morbidity in patients undergoing open pancreaticoduodenectomy. Pancreas. (2021) 50:834–40. doi: 10.1097/MPA.0000000000001856

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Whitcomb B, Pradhan E, Pittas A, Roghmann M, Perencevich E. Impact of admission hyperglycemia on hospital mortality in various intensive care unit populations. Crit Care Med. (2005) 33:2772–7. doi: 10.1097/01.ccm.0000189741.44071.25

CrossRef Full Text | Google Scholar

10. Eshuis W, Hermanides J, van Dalen J, van Samkar G, Busch O, van Gulik T, et al. Early postoperative hyperglycemia is associated with postoperative complications after pancreatoduodenectomy. Ann Surg. (2011) 253:739–44. doi: 10.1097/SLA.0b013e31820b4bfc

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Huang P, Lin M, Wen J, Li X, Shi X, Zhang H, et al. Correlation of early postoperative blood glucose levels with postoperative complications, hospital costs, and length of hospital stay in patients with gastrointestinal malignancies. Endocrine. (2015) 48:187–94. doi: 10.1007/s12020-014-0291-1

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Fiorillo C, Rosa F, Quero G, Menghi R, Doglietto G, Alfieri S. Postoperative hyperglycemia in nondiabetic patients after gastric surgery for cancer: perioperative outcomes. Gastric Cancer. (2017) 20:536–42. doi: 10.1007/s10120-016-0621-5

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Kronfli A, Boukerche F, Medina D, Geertsen A, Patel A, Ramedani S, et al. Immediate postoperative hyperglycemia after peripheral arterial bypass is associated with short-term and long-term poor outcomes. J Vasc Surg. (2021) 73:1350–60. doi: 10.1016/j.jvs.2020.08.126

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Pennington Z, Lubelski D, Westbroek E, Ahmed A, Passias P, Sciubba D. Persistent postoperative hyperglycemia as a risk factor for operative treatment of deep wound infection after spine surgery. Neurosurgery. (2020) 87:211–9. doi: 10.1093/neuros/nyz405

CrossRef Full Text | Google Scholar

15. Capes S, Hunt D, Malmberg K, Gerstein H. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet. (2000) 355:773–8. doi: 10.1016/s0140-6736(99)08415-9

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Fogelholm R, Murros K, Rissanen A, Avikainen S. Admission blood glucose and short term survival in primary intracerebral haemorrhage: a population based study. J Neurol Neurosurg Psychiatry. (2005) 76:349–53. doi: 10.1136/jnnp.2003.034819

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Egi M, Bellomo R, Stachowski E, French C, Hart G, Hegarty C, et al. Blood glucose concentration and outcome of critical illness: the impact of diabetes. Crit Care Med. (2008) 36:2249–55. doi: 10.1097/CCM.0b013e318181039a

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Falciglia M, Freyberg R, Almenoff P, D’Alessio D, Render M. Hyperglycemia-related mortality in critically ill patients varies with admission diagnosis. Crit Care Med. (2009) 37:3001–9. doi: 10.1097/CCM.0b013e3181b083f7

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Fakhry S, Morse J, Wilson N, Waswick W, Garland J, Chipko J, et al. Hyperglycemia in non-diabetic adult trauma patients is associated with worse outcomes than diabetic patients: an analysis of 95,764 patients. J Trauma Acute Care Surg. (2022) 93:316–22. doi: 10.1097/ta.0000000000003576

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Yao R, Ren C, Wu G, Zhu Y, Xia Z, Yao Y. Is intensive glucose control bad for critically ill patients? A systematic review and meta-analysis. Int J Biol Sci. (2020) 16:1658–75. doi: 10.7150/ijbs.43447

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Fiorillo C, Quero G, Laterza V, Mascagni P, Longo F, Menghi R, et al. Postoperative hyperglycemia affects survival after gastrectomy for cancer: a single-center analysis using propensity score matching. Surgery. (2020) 167:815–20. doi: 10.1016/j.surg.2019.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Pezzella A, Holmes S, Pritchard G, Speir A, Ad N. Impact of perioperative glycemic control strategy on patient survival after coronary bypass surgery. Ann Thorac Surg. (2014) 98:1281–5. doi: 10.1016/j.athoracsur.2014.05.067

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Su X, Meng Z, Wu X, Cui F, Li H, Wang D, et al. Dexmedetomidine for prevention of delirium in elderly patients after non-cardiac surgery: a randomised, double-blind, placebo-controlled trial. Lancet. (2016) 388:1893–902. doi: 10.1016/s0140-6736(16)30580-3

CrossRef Full Text | Google Scholar

24. Zhang D, Su X, Meng Z, Li H, Wang D, Xue-Ying L, et al. Impact of dexmedetomidine on long-term outcomes after noncardiac surgery in elderly: 3-year follow-up of a randomized controlled trial. Ann Surg. (2019) 270:356–63. doi: 10.1097/sla.0000000000002801

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Sessler C, Gosnell M, Grap M, Brophy G, O’Neal P, Keane K, et al. The richmond agitation-sedation scale: validity and reliability in adult intensive care unit patients. Am J Respir Crit Care Med. (2002) 166:1338–44. doi: 10.1164/rccm.2107138

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Quan H, Li B, Couris C, Fushimi K, Graham P, Hider P, et al. Updating and validating the charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. (2011) 173:676–82. doi: 10.1093/aje/kwq433

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Mahoney F, Barthel D. Functional evaluation: the barthel index. Md State Med J. (1965) 14:61–5.

Google Scholar

28. Amin M, Edge S, Greene F, Byrd D, Brookland R, Washington M, et al. AJCC Cancer Staging Manual. Cham: Springer (2017).

Google Scholar

29. Shinall M Jr., Arya S, Youk A, Varley P, Shah R, Massarweh N, et al. Association of preoperative patient frailty and operative stress with postoperative mortality. JAMA Surg. (2020) 155:e194620. doi: 10.1001/jamasurg.2019.4620

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ely E, Inouye S, Bernard G, Gordon S, Francis J, May L, et al. Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA. (2001) 286:2703–10. doi: 10.1001/jama.286.21.2703

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Wang C, Wu Y, Yue P, Ely E, Huang J, Yang X, et al. Delirium assessment using confusion assessment method for the intensive care unit in chinese critically ill patients. J Crit Care. (2013) 28:223–9. doi: 10.1016/j.jcrc.2012.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Meng C, Zhang X, Bi Z, Zhou J, Wang H, Sun H. Telephone interview for cognitive status modified used in screening cognitive impairment. Zhong Hua Shen Jing Ke Za Zhi. (2005) 38:30–3.

Google Scholar

33. Hao Y, Fang J, Power M, Wu S. The equivalence of whoqol bref among 13 culture versions. Zhong Guo Xin Li Wei Sheng Za Zhi. (2006) 20:71–5.

Google Scholar

34. Badawi O, Yeung S, Rosenfeld B. Evaluation of glycemic control metrics for intensive care unit populations. Am J Med Qual. (2009) 24:310–20. doi: 10.1177/1062860609336366

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Dungan K, Braithwaite S, Preiser J. Stress hyperglycaemia. Lancet. (2009) 373:1798–807. doi: 10.1016/s0140-6736(09)60553-5

CrossRef Full Text | Google Scholar

36. Meister K, Hufford T, Tu C, Khorgami Z, Schauer P, Brethauer S, et al. Clinical significance of perioperative hyperglycemia in bariatric surgery: evidence for better perioperative glucose management. Surg Obes Relat Dis. (2018) 14:1725–31. doi: 10.1016/j.soard.2018.07.028

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Yatabe T, Inoue S, Sakaguchi M, Egi M. The optimal target for acute glycemic control in critically ill patients: a network meta-analysis. Intens Care Med. (2017) 43:16–28. doi: 10.1007/s00134-016-4558-2

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Chen E, Nooromid M, Helenowski I, Soper N, Halverson A. The relationship of preoperative versus postoperative hyperglycemia on clinical outcomes after elective colorectal surgery. Surgery. (2019) 166:655–62. doi: 10.1016/j.surg.2019.04.043

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Jacobi J, Bircher N, Krinsley J, Agus M, Braithwaite S, Deutschman C, et al. Guidelines for the use of an insulin infusion for the management of hyperglycemia in critically ill patients. Crit Care Med. (2012) 40:3251–76. doi: 10.1097/CCM.0b013e3182653269

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Evans L, Rhodes A, Alhazzani W, Antonelli M, Coopersmith C, French C, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021. Crit Care Med. (2021) 49:e1063–143. doi: 10.1097/ccm.0000000000005337

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Jackson R, Amdur R, White J, Macsata R. Hyperglycemia is associated with increased risk of morbidity and mortality after colectomy for cancer. J Am Coll Surg. (2012) 214:68–80. doi: 10.1016/j.jamcollsurg.2011.09.016

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Kang Z, Huo J, Zhai X. Effects of perioperative tight glycemic control on postoperative outcomes: a meta-analysis. Endocr Connect. (2018) 7:R316–27. doi: 10.1530/ec-18-0231

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Saager L, Duncan A, Yared J, Hesler B, You J, Deogaonkar A, et al. Intraoperative tight glucose control using hyperinsulinemic normoglycemia increases delirium after cardiac surgery. Anesthesiology. (2015) 122:1214–23. doi: 10.1097/aln.0000000000000669

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Chen J, Nassereldine H, Cook S, Thornblade L, Dellinger E, Flum D. Paradoxical association of hyperglycemia and surgical complications among patients with and without diabetes. JAMA Surg. (2022) 157:765–70. doi: 10.1001/jamasurg.2021.5561

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Guo Y, Wang G, Jing J, Wang A, Zhang X, Meng X, et al. Stress hyperglycemia may have higher risk of stroke recurrence than previously diagnosed diabetes mellitus. Aging. (2021) 13:9108–18. doi: 10.18632/aging.202797

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Abdelmalak B, Knittel J, Abdelmalak J, Dalton J, Christiansen E, Foss J, et al. Preoperative blood glucose concentrations and postoperative outcomes after elective non-cardiac surgery: an observational study. Br J Anaesth. (2014) 112:79–88. doi: 10.1093/bja/aet297

PubMed Abstract | CrossRef Full Text | Google Scholar

47. El-Menyar A, Asim M, Mir F, Hakim S, Kanbar A, Siddiqui T, et al. Patterns and effects of admission hyperglycemia and inflammatory response in trauma patients: a prospective clinical study. World J Surg. (2021) 45:2670–81. doi: 10.1007/s00268-021-06190-5

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Lachmann G, von Haefen C, Wollersheim T, Spies C. Severe perioperative hyperglycemia attenuates postoperative monocytic function, basophil count and T cell activation. Minerva Anestesiol. (2017) 83:921–9. doi: 10.23736/S0375-9393.17.11638-X

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Chang S, Yang W. Hyperglycemia, tumorigenesis, and chronic inflammation. Crit Rev Oncol Hematol. (2016) 108:146–53. doi: 10.1016/j.critrevonc.2016.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Simon J, Thomas F, Czernichow S, Hanon O, Lemogne C, Simon T, et al. Hyperglycaemia is associated with cancer-related but not non-cancer-related deaths: evidence from the IPC cohort. Diabetologia. (2018) 61:1089–97. doi: 10.1007/s00125-017-4540-8

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Finfer S, Chittock D, Su S, Blair D, Foster D, Dhingra V, et al. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. (2009) 360:1283–97. doi: 10.1056/NEJMoa0810625

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Yamada T, Shojima N, Noma H, Yamauchi T, Kadowaki T. Glycemic control, mortality, and hypoglycemia in critically ill patients: a systematic review and network meta-analysis of randomized controlled trials. Intensive Care Med. (2017) 43:1–15. doi: 10.1007/s00134-016-4523-0

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Bohé J, Abidi H, Brunot V, Klich A, Klouche K, Sedillot N, et al. Individualised versus conventional glucose control in critically-ill patients: the controling study-a randomized clinical trial. Intens Care Med. (2021) 47:1271–83. doi: 10.1007/s00134-021-06526-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: aged, surgical procedures, operative, intensive care unit, hyperglycemia, long term adverse effects, survival

Citation: Li M, Deng C-M, Su X, Zhang D-F, Ding M, Ma J-H and Wang D-X (2022) Hyperglycemia is associated with worse 3-year survival in older patients admitted to the intensive care unit after non-cardiac surgery: Post hoc analysis of a randomized trial. Front. Med. 9:1003186. doi: 10.3389/fmed.2022.1003186

Received: 26 July 2022; Accepted: 24 November 2022;
Published: 12 December 2022.

Edited by:

Marcelo Arruda Nakazone, Faculdade de Medicina de São José do Rio Preto, Brazil

Reviewed by:

Dmitry Frank, Soroka Medical Center, Israel
Miguel Bigotte Vieira, New University of Lisbon, Portugal

Copyright © 2022 Li, Deng, Su, Zhang, Ding, Ma and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chun-Mei Deng, ZGVuZ2NodW5tZWlAYmptdS5lZHUuY24=; Dong-Xin Wang, d2FuZ2Rvbmd4aW5AaG90bWFpbC5jb20=, ZHh3YW5nNjVAYmptdS5lZHUuY24=

Present Address: Dan-Feng Zhang, Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.